To support domain experts in their investigation of such bias clusters, we provide an embedding view, as shown in fig:embeddings B.
This view can be accessed per metric by selecting the embedding icon on the left of a filter chip fig:embeddings A.
To realize such an embedding visualization, users can provide additional embedding information for the annotations in a dataset, which we project down to two dimensions using UMAP [1]}.
This projection is done on the basis of the filtered data subset, and thus reflects only the data points the user is interested in at the moment.
For our experiments and figures in this paper, embeddings for all labels were obtained using Glove word embeddings [2]}, however, any embedding tool can be used with our visualizations.
